Author

S. Nadeem

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 3 Bioengineering· 2 Cancer Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 4 Organism:human· 4 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Assay:spatial transcriptomics· 2

Frequent Co-Authors

A. Tannenbaum· 3 shared A. J. Steyn· 2 shared H. T. Pacl· 2 shared J. Mathews· 2 shared J. N. Glasgow· 2 shared K. C. Chinta· 2 shared K. Lumamba· 2 shared k. Nargan· 2 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioengineering

A. Tannenbaum

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Detection of Mycobacterium tuberculosis in human tissue via RNA in situ hybridization

k. Nargan, T. Naidoo, M. Msimang, S. Nadeem, G. Wells, R. L. Hunter, A. Hutton, K. Lumamba, J. N. Glasgow, P. V. Benson, A. J. Steyn

This paper uses RNA in situ hybridization to detect Mycobacterium tuberculosis mRNA in human tissue, identifying Mtb in ZN-negative samples and revealing two distinct Mtb populations.

bioRxiv · Oct 4, 2023 · PreprintMicrobiology

NAD(H) homeostasis is essential for host protection mediated by glycolytic myeloid cells in tuberculosis

H. T. Pacl, K. C. Chinta, V. P. Reddy, S. Nadeem, R. R. Sevalkar, K. Nargan, K. Lumamba, T. Naidoo, J. N. Glasgow, A. Agarwal, A. J. C. Steyn

This study shows that NAD(H) homeostasis in glycolytic myeloid cells is critical for host protection against tuberculosis, with nicotinamide reducing Mtb lung burden.

bioRxiv · Sep 11, 2022 · PreprintMicrobiology

Water-soluble tocopherol derivatives inhibit SARS-CoV-2 RNA-dependent RNA polymerase

H. T. Pacl, J. L. Tipper, R. R. Sevalkar, A. Crouse, C. Crowder, UAB Precision Medicine Institute, S. Ahmad, A. Ahmad, G. D. Holder, C. J. Kuhlman, K. C. Chinta, S. Nadeem, T. J. Green, C. M. Petit, A. J. Steyn, , K. S. Harrod

This paper identifies water-soluble tocopherol derivatives as potent inhibitors of SARS-CoV-2 RNA-dependent RNA polymerase, showing synergy with remdesivir.

bioRxiv · Jul 13, 2021 · PreprintMicrobiology

ImPartial: Partial Annotations for Cell Instance Segmentation

N. Martinez, G. Sapiro, A. R. Tannenbaum, T. J. Hollmann, S. Nadeem

ImPartial improves cell instance segmentation in noisy multiplex spatial images using partial annotations and self-supervised imputation, showing effectiveness on cancer datasets.

bioRxiv · Jan 20, 2021 · PreprintBioengineering

Optimal Mass Transport for Robust Texture Analysis

Z. Belkhatir, A. Iyer, J. Mathews, M. Pouryahya, S. Nadeem, J. Deasy, A. Apte, A. Tannenbaum

This paper introduces a texture analysis method using optimal mass transport to improve robustness in CT slice classification for head and neck cancer, outperforming random forest on scalar features.

bioRxiv · Nov 27, 2019 · PreprintBioengineering

Glymphatic Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport

S. Koundal, R. Elkin, S. Nadeem, Y. Xue, S. Constantinou, S. Sanggaard, X. Liu, B. Monte, F. Xu, W. Van Nostrand, M. Nedergaard, H. Lee, J. Wardlaw, H. Benveniste, A. Tannenbaum

This study uses rOMT to analyze glymphatic transport, showing faster solute speed in CSF and regional differences in brain parenchyma, with implications for neurodegenerative diseases.

bioRxiv · Sep 14, 2019Physiology

Robust and Interpretable PAM50 Reclassification Exhibits Survival Advantage for Myoepithelial and Immune Phenotypes

J. Mathews, S. Nadeem, A. J. Levine, M. Pouryahya, J. O. Deasy, A. Tannenbaum

The paper reclassifies breast tumors into 7 classes using interpretable mRNA signatures, showing improved survival outcomes for myoepithelial and immune-related phenotypes.

bioRxiv · Jul 16, 2019Cancer Biology